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Making multiple multi-line plots from one matrix

I'm wondering if there's a way to combine the apply function along with the matplot function to generate a new plot for every n columns in a matrix.

I currently have a matrix with 1350 rows with 640 columns. I'm plotting the values for all the rows for every 8 columns using matplot:

png("cmpd1.png")
matplot(data[,1:8], type="l", y-lab="z-score", axes = F) 
axis(side=2)
dev.off()

I want to automate this a bit and have the column values shift by eight each loop and the label on the png to change by one. Can someone please give directions?

Solution

  • I think there is a version with lapply() but a loop does the job as well

    for(i in seq(1,ncol(data),8)){
  png(paste0("cmpd",i,".png"))
  matplot(data[,i:(i+7)], type="l", ylab="z-score", axes = F) 
  axis(side=2)
  dev.off()
}